STATISTICS FOR RESEARCH AND EVALUATION
An introduction to statistical analysis for research and evaluation. Draw on current events and policy debates when possible. Describe data and distributions; internal/external validity; sampling, inference, and evaluation designs (RCT, regression, DiD). Expect to use real data and computer software to complete assignments.
Prerequisites & course information
Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Describe data and distributions Audience: Graduate 2. Identify relationships between variables Audience: Graduate 3. Explain the relationship between internal and external validity Audience: Graduate 4. Demonstrate knowledge of inferential statistics through a final exam Audience: Graduate 5. Use computer software to analyze data Audience: Graduate Learning Outcomes: 1. Describe data and distributions Audience: Graduate 2. Identify relationships between variables Audience: Graduate 3. Explain the relationship between internal and external validity Audience: Graduate 4. Demonstrate knowledge of inferential statistics through a final exam Audience: Graduate 5. Use computer software to analyze data Audience: Graduate
Sources
- Course catalogue ↗2026-2027